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Google interview notes, page 68 of 215

FAANG / Big Tech

Most of these Google write-ups come from Software Engineers (1,167), then Product Managers (686) and Data Scientists (125). The most reported rounds are the product sense round (667), the technical phone screen (660), the behavioral / leadership round (252) and the onsite coding round (214).

2146 interview notes · updated Oct 2026

Google·Software Engineer·Onsite - Product Sense / Strategy

May 2026
Interviewed for a bizops role at Google and got hit with a strategy scaling question that sounded straightforward but required a lot more structure than I brought to it.
  • Walk me through how you would take a locally successful strategy and scale it globally. What specifically changes in your approach?

“I jumped straight into talking about localization and market fit, which felt right in the moment but I skipped over the operational side entirely.”

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Google·Software Engineer·Onsite - System Design / Architecture

May 2026
System design round at Google for a software engineer role, focused entirely on building an AI-driven cloud monitoring service. The scope was massive and I kept second-guessing whether I was going deep enough on any single piece.
  • Design a monitoring service for cloud applications that collects telemetry, uses an AI-based analyzer to detect issues, and automatically takes actions like shutting down or network-isolating instances.
  • How would you handle safety checks and audit logging for automated actions taken by the system, and what does a rollback mechanism look like?
  • How would your design support multiple cloud providers, and what challenges does that introduce at scale?
  • How do you prevent alert fatigue and handle noisy or flapping alerts in a system like this?

“This question is basically five questions in a trench coat.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview, one question about growing Chromebook into a new user segment. Pretty open-ended, which I wasn't fully prepared for.
  • How would you go about launching Chromebook to a user segment it hasn't targeted before?

“I fumbled the opening by jumping straight into feature ideas before actually picking a segment and justifying it.”

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Google·Product Manager·Onsite - Behavioral / Leadership

May 2026
Behavioral screen for a PM role at Google. Just the one question but it's the kind that sounds easy and then you're sitting there realizing you've never actually thought hard about what 'challenged' means to you.
  • Tell me about a time when you felt most challenged.

“I picked a story that sounded impressive on paper but I don't think it landed.”

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Google·Software Engineer·Technical Phone Screen

May 2026
Google SWE interview with a string search problem that sounds straightforward until you actually have to think about cross-boundary matches. The question had more edge cases than I expected going in.
  • Given a list of strings, search for a target string by treating the list as a continuous flat character stream, where each character's position is tracked by its string index and character index. For example, searching for 'de' in ['a', 'bcd', 'ea', 'de'] should return [1, 2] because the 'd' starts at string 1, char 2, and the 'e' continues into string 2. Can matches span across consecutive strings? Implement an efficient solution.

“The cross-boundary part is what got me.”

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Google·Data Scientist·Technical Phone Screen

May 2026
Interviewed at Google for a data science role and got hit with a statistics question that sounds straightforward until you actually try to explain it out loud to someone staring at you.
  • If you're running hundreds of hypothesis tests simultaneously using t-tests, what statistical considerations do you need to address?

“I knew the answer involved multiple comparisons but fumbled the specifics under pressure.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Got a product sense / estimation question for a Google PM role, just the one question about YouTube costs. Pretty standard case interview territory but the scope of it threw me a bit.
  • Estimate how much it costs to run YouTube for a single day.

“I started with storage and bandwidth since those feel obvious for a video platform, but then blanked on how to size the compute layer.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google PM interview with a single product design question about building a tablet for a restaurant context. Pretty open-ended, which I wasn't fully prepared for.
  • How would you design a tablet product for use in a restaurant setting?

“I went straight to ordering and menu browsing, which felt obvious in retrospect.”

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Google·Product Manager·Onsite - Product Sense / Strategy

May 2026
Google product sense question about world traffic data. No navigation allowed, which is the obvious answer, so you're kind of forced to actually think. Pretty open-ended and I'm not sure I landed anywhere great.
  • If you had access to traffic data for every street in the world, what would you build? Navigation and maps-style applications are off the table.

“The constraint is the whole point of this question.”

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Google·Business Analyst·Onsite - Product Sense / Strategy

May 2026
Interviewed at Google, got hit with a business strategy/case question about a real-world company failure. Short and a bit sparse as interview experiences go, but the question itself has some meat to it.
  • Why did Sears fail as a company?

“I'd thought about this kind of question before but not Sears specifically.”

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